Result Details
Analysis of feature extraction and channel compensation in GMM speaker recognition system
Matějka Pavel, Ing., Ph.D., DCGM (FIT)
Schwarz Petr, Ing., Ph.D., DCGM (FIT)
Glembek Ondřej, Ing., Ph.D., DCGM (FIT)
Černocký Jan, prof. Dr. Ing., DCGM (FIT)
The paper is about Analysis of feature extraction and channel compensation in GMM speaker recognition system.
Speaker recognition, GMM, feature warping, RASTA, HLDA, Feature Mapping, eigenchannel adaptation.
In this paper, several feature extraction and channel compensation techniques found in state-of-the-art speaker verification systems are analyzed and discussed. For NIST SRE 2006 submission, Cepstral Mean Subtraction, Feature Warping, RASTA filtering, HLDA, Feature Mapping and eigenchannel adaptation were incrementally added to minimize system's error rate. The key-part of the paper is however the post-evaluation analysis, undermining the common myth "the more boxes in the scheme, the better system". All results are presented on NIST SRE 2005 and 2006 data.
@article{BUT45152,
author="Lukáš {Burget} and Pavel {Matějka} and Petr {Schwarz} and Ondřej {Glembek} and Jan {Černocký}",
title="Analysis of feature extraction and channel compensation in GMM speaker recognition system",
journal="IEEE Transactions on Audio Speech and Language Processing",
year="2007",
volume="15",
number="7",
pages="1979--1986",
issn="1558-7916",
url="http://www.fit.vutbr.cz/research/groups/speech/publi/2007/burget_gmmspkver_t-asl_2007.pdf"
}
Interactive Keyword Detector, GACR, Postdoktorandské granty, GP102/06/P383, start: 2006-01-01, end: 2008-12-31, completed
New trends in research and application of voice technology, GACR, Standardní projekty, GA102/05/0278, start: 2005-01-01, end: 2007-12-31, completed
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running